{"id":"W4410936769","doi":"10.2196/57216","title":"Evaluating Tailored Learning Experiences in Emergency Residency Training Through a Comparative Analysis of Mobile-Based Programs Versus Paper- and Web-Based Approaches: Feasibility Cross-Sectional Questionnaire Study","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical education; Residency training; Web application; Computer science; Test (biology); Multimedia; Medicine; World Wide Web; Continuing education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004983075,0.0003071135,0.0004740375,0.001163666,0.000531302,0.0005937101,0.0003452644,0.0004884758,0.001770029],"category_scores_gemma":[0.009952024,0.0002971647,0.0007127268,0.0007858052,0.0004194241,0.00107166,0.0008132496,0.0005074719,0.0002632268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007267967,"about_ca_system_score_gemma":0.001004791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008384115,"about_ca_topic_score_gemma":0.00166042,"domain_scores_codex":[0.9977942,0.0009851855,0.0002858955,0.0002237863,0.0004600764,0.0002509152],"domain_scores_gemma":[0.9940705,0.002491999,0.00127089,0.0001748735,0.001067127,0.0009246295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002485989,0.01854079,0.8967841,0.0005687569,0.0002351826,0.0004666885,0.01782244,0.0003781228,0.003453797,0.0001121308,0.000367808,0.05878412],"study_design_scores_gemma":[0.0002478629,0.01740636,0.9674687,0.00006515464,0.00007907657,0.0002343965,0.012167,0.0005673724,0.0009851527,0.00003611028,0.0007147466,0.00002802758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993392,0.0000203972,0.0001026464,0.000009210587,0.000002573528,0.0003022867,0.0000414994,0.000001854401,0.0001802898],"genre_scores_gemma":[0.9977277,0.00008847936,0.0008654657,0.00005001402,0.00000633741,0.0009093856,0.0001009209,0.000001993027,0.0002497362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004983075,"threshold_uncertainty_score":0.02635336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1778918238790931,"score_gpt":0.5096643183274795,"score_spread":0.3317724944483864,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}